This paper reports on a factorial-ecology experiment using ‘space—time units’. City space is divided ten ways and time eight ways to produce a set of eighty space—time units. Data is artificially created for these eighty units covering twenty-two variables. From a factor analysis of this data set, seven factors are extracted and interpreted by using the input variables and the space—time framework.
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